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    Systems and methods for predicting hydrocarbon production and assessing prediction uncertainty
    5.
    发明授权
    Systems and methods for predicting hydrocarbon production and assessing prediction uncertainty 有权

    公开(公告)号：US11480709B2

    公开(公告)日：2022-10-25

    申请号：US16659518

    申请日：2019-10-21

    Applicant: CHEVRON U.S.A. INC.

    Inventor： Julian Thorne ,  Lewis Li

    IPC: G01V99/00 ,  G06N20/00 ,  G06N5/04 ,  G06N3/08

    Abstract: Methods and systems for predicting hydrocarbon production and production uncertainty are disclosed. Exemplary implementations may: obtain training data, the training data including (i) training production data, (ii) training engineering parameters, and (iii) a training set of geological parameters and corresponding training geological parameter uncertainty values; obtain an initial production model; generate a trained production model by training the initial production model; store the trained production model; obtain a target set of geological parameters and corresponding target geological parameter uncertainty values and target engineering parameters; apply the trained production model to generate a set of production values and corresponding production uncertainty values; generate a representation using visual effects to depict at least a portion of the set of production values and corresponding production uncertainty values as a function of position within the subsurface volume of interest; and display the representation.

    SYSTEMS AND METHODS FOR PREDICTING HYDROCARBON PRODUCTION AND ASSESSING PREDICTION UNCERTAINTY
    8.
    发明申请
    SYSTEMS AND METHODS FOR PREDICTING HYDROCARBON PRODUCTION AND ASSESSING PREDICTION UNCERTAINTY 有权

    公开(公告)号：US20210116598A1

    公开(公告)日：2021-04-22

    申请号：US16659518

    申请日：2019-10-21

    Applicant: CHEVRON U.S.A. INC.

    Inventor： Julian Thorne ,  Lewis Li

    IPC: G01V99/00 ,  G06N20/00 ,  G06N5/04

    Abstract: Methods and systems for predicting hydrocarbon production and production uncertainty are disclosed. Exemplary implementations may: obtain training data, the training data including (i) training production data, (ii) training engineering parameters, and (iii) a training set of geological parameters and corresponding training geological parameter uncertainty values; obtain an initial production model; generate a trained production model by training the initial production model; store the trained production model; obtain a target set of geological parameters and corresponding target geological parameter uncertainty values and target engineering parameters; apply the trained production model to generate a set of production values and corresponding production uncertainty values; generate a representation using visual effects to depict at least a portion of the set of production values and corresponding production uncertainty values as a function of position within the subsurface volume of interest; and display the representation.

    Generation of subsurface representations using layer-space
    9.
    发明授权
    Generation of subsurface representations using layer-space 有权

    公开(公告)号：US10984590B1

    公开(公告)日：2021-04-20

    申请号：US16706609

    申请日：2019-12-06

    Applicant: Chevron U.S.A. Inc.

    Inventor： Lewis Li ,  Tao Sun ,  Sebastien B. Strebelle

    IPC: G06T15/00 ,  G06T17/20

    Abstract: Data in physical space may be converted to layer space before performing modeling to generate one or more subsurface representations. Computational stratigraphy model representations that define subsurface configurations as a function of depth in the physical space may be converted to the layer space so that the subsurface configurations are defined as a function of layers. Conditioning information that defines conditioning characteristics as the function of depth in the physical space may be converted to the layer space so that the conditioning characteristics are defined as the function of layers. Modeling may be performed in the layer space to generate subsurface representations within layer space, and the subsurface representations may be converted into the physical space.

    System and method for accelerated computation of subsurface representations
    10.
    发明授权
    System and method for accelerated computation of subsurface representations 有权

    公开(公告)号：US11604909B2

    公开(公告)日：2023-03-14

    申请号：US16706596

    申请日：2019-12-06

    Applicant: Chevron U.S.A. Inc.

    Inventor： Tao Sun ,  Sebastien B. Strebelle ,  Ashley D. Harris ,  Maisha Lara Amaru ,  Lewis Li

    IPC: G01V99/00 ,  G06F30/27 ,  G06N20/00 ,  G06N5/04

    Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model. Running of the computational stratigraphy model and usage of the machine learning model may be iterated until the end of the simulation.

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